Part subpixel edge detection method based on improved Zernike moment

To address the issue of inaccurate velocity measuremen, easy fatigue for long time measurement, low measurement accuracy, and difficult to realize measurement automation, a subpixel edge detection method with improved Zernike moment was introduced in this paper. Firstly, the pixel level edge detection algorithm is used for rough edge location. Secondly, a three-gray edge detection model as an enhanced alternative to the ideal edge model, enabling subsequent computation of edge characteristic parameters. Finally, the subpixel edge coordinates are calculated. The size detection algorithm has high measurement accuracy and greatly improves the detection efficiency

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Published
2025-05-19
DOI
https://doi.org/10.1117/12.3068415
Primary Topic
Image Processing Techniques and Applications
Type
article
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article

Part subpixel edge detection method based on improved Zernike moment

Zongquan Deng, Haitao Ding
1 links
Image Processing Techniques and Applications
article

Part subpixel edge detection method based on improved Zernike moment

Zongquan Deng, Haitao Ding
article en

Abstract

To address the issue of inaccurate velocity measuremen, easy fatigue for long time measurement, low measurement accuracy, and difficult to realize measurement automation, a subpixel edge detection method with improved Zernike moment was introduced in this paper. Firstly, the pixel level edge detection algorithm is used for rough edge location. Secondly, a three-gray edge detection model as an enhanced alternative to the ideal edge model, enabling subsequent computation of edge characteristic parameters. Finally, the subpixel edge coordinates are calculated. The size detection algorithm has high measurement accuracy and greatly improves the detection efficiency

Changchun University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Image Processing Techniques and Applications
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